prepare_ae_listing

Analyzes adverse events in clinical trials using the 'metalite'
data structure. The package simplifies the workflow to create
production-ready tables, listings, and figures discussed in the
adverse events analysis chapters of
"R for Clinical Study Reports and Submission"
by Zhang et al. (2022) <https://r4csr.org/>.

Yujie Zhao

metalite.ae

Adverse Events Analysis Using 'metalite'

Yilong Zhang

Benjamin Wang

Nan Xiao

Sarad Nepal

Madhusudhan Ginnaram

Venkatesh Burla

Ruchitbhai Patel

Brian Lang

Xuan Deng

Hiroaki Fukuda

Bing Liu

Merck Sharp & Dohme Corp 

prepare_ae_listing function

<dl><dt>meta</dt>
<dd>A metadata object created by metalite.</dd>
<dt>analysis</dt>
<dd>Analysis name from <code>meta</code>.</dd>
<dt>population</dt>
<dd>A character value of population term name.
The term name is used as key to link information.</dd>
<dt>observation</dt>
<dd>A character value of observation term name.
The term name is used as key to link information.</dd>
<dt>parameter</dt>
<dd>A character value of parameter term name.
The term name is used as key to link information.</dd></dl>

Arguments

Prepare datasets for AE listing — prepare_ae_listing

<dl>

<dt>meta</dt>
<dd>A metadata object created by metalite.</dd>


<dt>analysis</dt>
<dd>Analysis name from <code>meta</code>.</dd>


<dt>population</dt>
<dd>A character value of population term name.
The term name is used as key to link information.</dd>


<dt>observation</dt>
<dd>A character value of observation term name.
The term name is used as key to link information.</dd>


<dt>parameter</dt>
<dd>A character value of parameter term name.
The term name is used as key to link information.</dd>

</dl>

Prepare datasets for AE listing

prepare_ae_listing: Prepare datasets for AE listing

Description

Usage

Value

Arguments

Examples